Smart Agriculture in India: Advancements in Image Processing for Automated Plant Disease Detection and Crop Analysis

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Year : 2025 | Volume : 12 | 02 | Page : –
    By

    Ashish Patel,

  • Suraj Rajbhar,

  1. Research Scholar, MCA Thakur Institute of Management Studies, Career Development & Research (TIMSCDR) Mumbai, Maharashtra, India
  2. Research Scholar, MCA Thakur Institute of Management Studies, Career Development & Research (TIMSCDR) Mumbai, Maharashtra, India

Abstract

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The integration of image processing techniques in agriculture has emerged as a transformative approach to address critical challenges in modern farming. This paper surveys advancements in image processing applications for the automated detection of plant diseases and comprehensive crop analysis, emphasizing their relevance to smart agriculture in India. By leveraging methods such as image segmentation, feature extraction, and machine learning-based classification, these technologies enable early detection of crop diseases, yield estimation, and precision farming. Such innovations not only enhance productivity but also reduce manual labor and resource wastage. This study highlights the potential of these methods to revolutionize Indian agriculture, catering to the nation’s diverse climatic and geographical conditions, while identifying existing gaps and avenues for future research.

Keywords: Smart Agriculture, Plant Disease Detection, Machine Learning, Precision Farming, Sustainable Farming

How to cite this article:
Ashish Patel, Suraj Rajbhar. Smart Agriculture in India: Advancements in Image Processing for Automated Plant Disease Detection and Crop Analysis. Journal of Image Processing & Pattern Recognition Progress. 2025; 12(02):-.
How to cite this URL:
Ashish Patel, Suraj Rajbhar. Smart Agriculture in India: Advancements in Image Processing for Automated Plant Disease Detection and Crop Analysis. Journal of Image Processing & Pattern Recognition Progress. 2025; 12(02):-. Available from: https://journals.stmjournals.com/joipprp/article=2025/view=0


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Ahead of Print Subscription Review Article
Volume 12
02
Received 08/03/2025
Accepted 14/06/2025
Published 01/07/2025
Publication Time 115 Days
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